Computational Neuroscientist (speech, seq2seq)
London (Greater), England
Permanent
£70-95k DOE, Equity, Hybrid
V-191184
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Chris Wyatt
Machine Learning | Computer Vision
Computational Neuroscientist
I am seeking a Computational Neuroscientist with key strengths and expertise in speech and complex seq2seq / sequence2sequence experience. Please note the speech and/or seq2seq is a must to be considered! My client is a seriously exciting start-up driven to advance humanity to the next stage of personal computing, through the creation of a new non-invasive brain-computer interface device.
We can consider a hybrid model of working for this role but you must be close enough to London, UK to come into the office when needed.
Primary responsibilities
I am seeking a Computational Neuroscientist with key strengths and expertise in speech and complex seq2seq / sequence2sequence experience. Please note the speech and/or seq2seq is a must to be considered! My client is a seriously exciting start-up driven to advance humanity to the next stage of personal computing, through the creation of a new non-invasive brain-computer interface device.
We can consider a hybrid model of working for this role but you must be close enough to London, UK to come into the office when needed.
Primary responsibilities
- Developing and experimenting with advanced machine learning models for decoding language from the brain
- Implementing and refining natural language processing algorithms and sequence to sequence models
- Collaborating with multidisciplinary neural engineering team members to produce innovative solutions
- PhD from a top 100 QS globally ranked institute in Computer Science
- Expertise in AI and ML Research in relation to speech and complex seq2seq problems, which should be evident via recent publications
- Graph network analysis and/or time-series analysis
- Deep Learning, experience with transformers highly beneficial
- Python, TensorFlow
- £70-95k DOE
- Equity
- Hybrid model of working
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